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While quantitative easing (QE) in the United States likely increased capital flows to emerging-market economies (EMEs), putting upward pressure on asset prices and exchange rates, diverging fundamentals between advanced economies and EMEs were also important drivers. Evidence suggests that the benefits of QE to EMEs, in higher global demand and increased confidence, appear to outweigh the costs. When advanced economies begin to normalize monetary policy, the best defence for EMEs against any potential instability is likely to be further strengthening of their macroeconomic and financial policy frameworks.

At a time when the Bank is expecting a rotation of demand toward exports and investment, and transformative global trends are placing increasing emphasis on innovation, technology and organizational learning, an understanding of the competitiveness strategies of Canadian firms and the factors affecting them has become particularly relevant. This article summarizes findings from a Bank of Canada survey of 151 firms designed to extract signals on elements of firm strategy and organizational capital in order to help inform the macroeconomic outlook.

This article provides an overview of the growth of Canadian-dollar-denominated assets in official foreign reserves. Based on International Monetary Fund data and on internal Bank of Canada analysis, we estimate that the total reserve holdings of Canadian-dollar assets increased from negligible levels before 2008 to around US$200 billion in the third quarter of 2013. We discuss the determinants of this increase, as well as its potential impact on Canadian debt markets, for example, lower yields and therefore reduced financing costs for the Government of Canada, and the possible negative impact on market liquidity.

Given technological advances and the widespread use of the Internet, various digital currencies have emerged. In most cases, Internet platforms such as Facebook and Amazon restrict the functionality of their digital currencies to enhance the business model and maximize their profits. While platform-based digital currencies could increase the efficiency of retail payments, they could also raise some important policy issues if they were to become widely used outside of the platform. Thus, it is important to closely monitor the evolution of these digital currencies.

Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.

Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements.

This article provides a broad perspective on the performance of the labour market in Canada and the United States since the Great Recession. It also presents a simple way to summarize much of this information in a single composite labour market indicator (LMI) for both countries. The LMI suggests that the unemployment rate in Canada has evolved largely in line with overall labour market conditions since the recession, but may have modestly overstated the extent of recent improvement. The U.S. unemployment rate, in contrast, appears to have substantially overstated the post-recession improvement in labour market conditions.

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts.

This article examines whether combining forecasts of real GDP from different models can improve forecast accuracy and considers which model-combination methods provide the best performance. In line with previous literature, the authors find that combining forecasts generally improves forecast accuracy relative to various benchmarks. Unlike several previous studies, however, they find that, rather than assigning equal weights to each model, unequal weighting based on the past forecast performance of models tends to improve accuracy when forecasts across models are substantially different.